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Unabhängige Ereignisse, bedingte Wahrscheinlichkeit, Formel von Bayes

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Zusammenfassung

Zwei Ereignisse E 1 und E 2 heißen unabhängig, wenn gilt:

$$W\left( {{E_1} \cap {E_2}} \right) = W\left( {{E_1}} \right)\cdot W\left( {{E_2}} \right).$$

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© 1996 Springer Fachmedien Wiesbaden

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Reichardt, Á. (1996). Unabhängige Ereignisse, bedingte Wahrscheinlichkeit, Formel von Bayes. In: Übungsprogramm zur statistischen Methodenlehre. Gabler Verlag, Wiesbaden. https://doi.org/10.1007/978-3-663-11671-4_8

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  • DOI: https://doi.org/10.1007/978-3-663-11671-4_8

  • Publisher Name: Gabler Verlag, Wiesbaden

  • Print ISBN: 978-3-409-63824-1

  • Online ISBN: 978-3-663-11671-4

  • eBook Packages: Springer Book Archive

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